Triple
T12994880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Jews |
E322007
|
entity |
| Predicate | preWarPopulationApproximate |
P41803
|
FINISHED |
| Object | 140000 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 140000 | Statement: [Dutch Jews, preWarPopulationApproximate, 140000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preWarPopulationApproximate Context triple: [Dutch Jews, preWarPopulationApproximate, 140000]
-
A.
preWorldWarIIPopulationEstimate
chosen
Indicates an estimated value for an entity’s population during the period before the start of World War II.
-
B.
preWarCountry
Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
-
C.
sizeAtOutbreakOfWWI
Indicates the size or magnitude of something specifically at the onset of World War I.
-
D.
formerPopulation
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
E.
preWarOccupation
Indicates the occupation or role a person held before a specific war or armed conflict.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7877f481908a03f1077600e58a |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:44 p.m.